Martyn Richard Jones
Dublin 9th May 2017
Weighed down with data?
Inundated with information?
Overstrained with knowledge?
Intimidated by wisdom?
Don’t despair!
Relief from all of this is just be around the corner, in the shape of the next revolutionary inflection point in IT. Yes, as you might have guessed it by now. I am talking about data-less apps. (more…)
Martyn Richard Jones
San Luis Obispo 16th April 2017
Taking a Pop at Traditional Data WarehousingPitch: I recently read a report from a data visualisation company on the “Top Ten Big Data Trends for 2017”. This is what they told me “Hadoop is no longer just a batch-processing platform for data-science use cases. It has become a multi-purpose engine for ad hoc analysis. It’s even being used for operational reporting on day-to-day workloads—the kind traditionally handled by data warehouses.” (more…)
Martyn Jones
Madrid 25th January 2017
HERE’S A THOUGHT! In the past age of big iron, the only reason for not having a proliferation of duplicated databases was the prohibitively high cost of disk storage. Now, we can let our database collections grow ‘like Topsy’. This is the Brave New World of data… apparently…
Let’s, for one moment, be the fly-guy on the corporate wall. What are we picking up on the radar there, Enda? Oh, yes…
Martyn Richard Jones
Baile Átha Cliath
It’s Easter in Baile Átha Cliath, and thoughts naturally turn to purple-shrouded, sombre-shadowed and mystical aspects of bereavement, resurrection and bunnies.
Which may go some way to explain why people come up to me in the street, and apropos of nothing, ask me about what is the biggest reason why Data Warehousing projects fail.
Try as I might, I cannot convince people that the reasons I give have any validity. It’s as if the mundaneness of the stupidity involved in these failures is just too frivolous, banal and immature as to be believable or even worth listening to.
Martyn Richard Jones
Carmarthen 18th March 2017
This is a second collection of snippets; ideas and occurrences that are aimed to provoke critical thought and engagement.
As I stated in the first of these articles, “Most people who know me, at least in a professional capacity, will know that I am no unconditional supporter of Data Warehousing, never mind the more plague ridden swamps inhabited by Big Data, Data Lakes, Travelling IoT, Dodgy Data Science, Instant Data Scientists (just add water) and New-Age Machine Learning. So, many will not be surprised by this heterogeneous post-modern pastiche of ideas, impressions and bagatelles.”
I have extended the original scope of these posts to include any thought on themes of strategy, data, technology, process, business and humanity. (more…)
Contextual Aptitude: The Next Great Thing… Again
Martyn Jones
Birmingham 15th March 2017
What is Contextual Aptitude (also known as End User Intelligence)?
For starters, it’s a rubbish term for an extra-crucial business-centric concept of gravity-defying, cosmos-rallying, mega-mega importance.
Data Mart in a Box: The Next Great Thing
Please note that this is a placeholder for a piece that is currently being reviewed by an architectural and IP team. Don’t want to give away too many secrets.
Martyn Jones
Carmarthenshire 16th March 2017
What is a Data Mart in a Box?
Most people who know me, at least in a professional capacity, will know that I am no unconditional supporter of Data Warehousing, never mind the more plague ridden swamps inhabited by Big Data, Data Lakes, Travelling IoT, Dodgy Data Science, Instant Data Scientists (just add water) and New-Age Machine Learning. So, many will not be surprised by this heterogeneous post-modern pastiche of ideas, impressions and bagatelles.
Martyn Richard Jones
Lora del Rio, 2nd February 2017
post-truth – ADJECTIVE – Relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief.
fake news – a type of hoax or deliberate spread of misinformation in social media or traditional news media with the intent to mislead in order to gain financially or politically.
Big data – a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.
If we believe the presses, and who wouldn’t, we are living in an age of post-truth, fake-news and Big Data.
Actually, none of this is new, not even the amazing volumes, varieties and velocities of boloney that surrounds the Big Data bandwagon. In fact, the big porky technique (a.k.a. the big lie) was invented when Anglo-Saxon cynicism was in its infancy.
Martyn Richard Jones
Mountain View, 22nd January 2015
This article is the first in a series of articles that discuss aspects of the use of architectural patterns in the Cambriano Information Supply Framework 3.0
The term architectural pattern may sound grand, misleading or daunting, but it’s really quite a simple concept. It’s like writing a function in a programming language to log in to a database, check that the connection is alive and working and report back the success of the connection request. If that function can be reused either in the same application development, in the same IT shop or in IT in general (e.g. Java code to connect and test the connection to SQL Server) then it’s well on its way to becoming an architectural pattern. Of course, there are much more sophisticated architectural patterns. But generally a pattern is a simplified and generic template for address a generally occurring problem. But as with much in architecture, less usually turns out to be more.